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Wirtschaftswissenschaften Blog

Vortrag von Prof. Tatushi Nishi (University of Osaka) am 21.11.2019, 16-17 Uhr, U3-140

Veröffentlicht am 13. November 2019, 12:30 Uhr

Title: Integration of Machine Learning and Optimization for Supply Chain Optimization

Abstract: We are trying to develop the AI techniques that can be explained by an automatic synthesis of decision-making models through the integration of machine learning and optimization. By constructing a feedback loop of machine learning and optimization, a closed-loop data-driven system that can improve the machine learning accuracy and significantly reduce the computational time required for optimization through machine learning methods even in a shortage of teaching data. From the viewpoint, our recent topics on dynamic multi-commodity network design problem, virtualization of supply chains, mass customization of product design and supply chain planning, inverse optimization for scheduling problems, imitative learning will be discussed.

Gesendet von CStummer in iTIME
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